Open Access Paper
13 September 2024 Integration of remote sensing techniques in civil engineering
Elia Tantele, Renos Votsis, Christiana A. Filippou, Orestes Marangos, Nicholas Kyriakides
Author Affiliations +
Proceedings Volume 13212, Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024); 132121H (2024) https://doi.org/10.1117/12.3038208
Event: Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024), 2024, Paphos, Cyprus
Abstract
Remote sensing is a powerful tool in various fields, including civil engineering, due to its ability to provide valuable information, about objects or areas, from a distance. This paper examines the relationship between remote sensing and civil engineering, highlighting its applications, advantages, challenges and limitations. A review was carried out to address the role of remote sensing technologies in the planning, design, construction, and maintenance processes in civil engineering projects. Furthermore, the synergy between remote sensing data and civil engineering is presented through case studies. Finally, this paper addresses future directions, training and education, and collaboration opportunities.

1.

INTRODUCTION

Civil engineering is a pivotal branch of engineering that focuses on the design, construction, and maintenance of the built environment. This broad field encompasses various sub-disciplines, including Structural Engineering, Transportation Engineering, Geotechnical Engineering, Water Resources Engineering, Environmental Engineering, Construction Engineering, and Urban and Regional Planning. Each of these disciplines relies heavily on accurate data to achieve effective assessment and management of projects. Traditionally, such information has been gathered using sensors and equipment installed directly on structures and infrastructures (Shrive, 2005) or through onsite equipment operated by personnel physically present at the location of interest (Malesa et al, 2010).

In recent years, remote sensing has emerged as a revolutionary technology in civil engineering, providing valuable information about objects or areas from a distance. Remote sensing encompasses a variety of techniques and technologies, such as satellite imagery, aerial photography, and LiDAR, which can be applied across all civil engineering disciplines. The integration of remote sensing into civil engineering offers numerous benefits, including the ability to collect data without the need for physical presence at the site, thus reducing traffic delays caused by monitoring activities on bridges and highways, enhancing safety in challenging environments, and improving the efficiency and accuracy of data collection. The utilization of remote sensing technologies in civil engineering has the potential to transform the industry by enabling more efficient monitoring, planning, and maintenance of infrastructure. By leveraging these advanced technologies, civil engineers can achieve higher precision in their assessments, better manage resources, and ultimately contribute to the development of safer and more sustainable infrastructure systems.

This paper explores the integration of remote sensing techniques in various civil engineering disciplines, highlighting their applications, benefits, and the future prospects of this evolving field.

2.

TYPES OF REMOTE SENSING TECHNIQUES

Various remote sensing techniques are available for capturing data about the Earth’s surface and atmosphere (Roy et al, 2017) that find implementations both in scientific branches and far more practical industries.

  • Imagery: Remote sensing imagery includes optical, infrared, and radar data, which can be used to create visual representations of the Earth’s surface and detect features such as vegetation, water bodies, and built structures (Cheng et al, 2020).

  • LiDAR (Light Detection and Ranging): LiDAR technology uses laser pulses to measure distances to the Earth’s surface, enabling highly accurate 3D mapping of terrain and infrastructure features (Wang and Menenti, 2021).

  • Hyperspectral imaging: Hyperspectral sensors capture data across multiple wavelengths, allowing for detailed analysis of material composition and vegetation health (Jia et al, 2020).

3.

APPLICATIONS OF REMOTE SENSING IN CIVIL ENGINEERING

Remote sensing techniques have a wide range of applications in civil engineering projects (Laefer, 2020). These include:

  • Mapping and surveying of large areas: Remote sensing techniques are used to create detailed maps and digital elevation models (DEMs) of terrain, which are essential for site selection, route planning, and land development (Wang et al, 2020).

  • Monitoring and assessing infrastructure health: Remote sensing data is used to detect structural deformations, monitor changes in land use, assess the condition of roads, bridges, and other critical infrastructure and detection of damaged civil structures (Ghaedi et al,2021).

  • Environmental impact assessment: Remote sensing helps identify environmental hazards, monitor air and water quality, and track changes in ecosystems, supporting sustainable development practices.

  • Water resource management: estimate rainfall and snowfall amounts, river flows, flood prediction,

  • Disaster management and mitigation: Remote sensing technologies aid in disaster preparedness, response, and recovery by providing timely information on natural disasters such as floods, earthquakes, and wildfires.

  • Cultural heritage sites survey and exploration: map out prospective sites for excavation and analyze them without causing any physical disturbance; detect features beneath the surface of the earth.

4.

ADVANTAGES AND CHALLENGES

The integration of remote sensing in civil engineering offers numerous advantages, including:

  • Cost-effectiveness: Reduces the need for extensive field surveys and manual/physical data collection.

  • Time Efficiency: Provides comprehensive information over large areas in a relatively short time.

  • Enhanced accuracy and precision: Delivers detailed spatial and spectral data for informed decision-making.

  • Safety benefits: Minimizes the health risks associated with on-site inspections and data collection activities as many health and safety limitations can be overcome with this approach.

  • Data Accessibility: With the increasing availability of satellite imagery and open-access datasets, remote sensing data has become more accessible to civil engineers worldwide.

5.

CASE STUDIES

5.1

Case study 1: Satellite Remote Sensing in climate change

Owing to the need to understand climate change and monitor essential climate variables, satellite remote sensing has led to major advances in understanding the climate system and its changes (Stylianou et al, 2023). For the understanding of the climate system and its variations, sensors aboard different platforms, including plane, boat and Argo and ground-based instruments are used (sun spectral radiometers measure solar radiation) as shown in Figure 1. However, satellite remote sensing can provide more frequent and repetitive coverage over a large area than other observation means and as well as satellite remote sensing allows for continual monitoring of climate change on the global scale (Fig. 1).

Figure 1.

Remote sensing of the climate system (Figure courtesy of R. He, Hainan University).

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Satellite remote sensing has led to major advances in understanding the climate system and its changes by monitoring climate parameters such as precipitation and temperature, and by quantifying processes and spatiotemporal states of the atmosphere, land, and oceans (Wang, 2023). With this information, the civil engineering community must adapt its design and construction practices to enhance the sustainability of structures. The benefits of remote sensing in assessing and mitigating the impact of climate change on civil engineering can be summarized as follows:

  • Provides frequent and repetitive data over a large area.

  • Provides insight on the changes in structure load from rising sea levels, temperature fluctuations and increased wind load.

  • Captures data on the rising CO2 levels and humidity variations that accelerates structural degradation (e.g. corrosion damage due to carbonation) over time.

  • Improve disaster risk management by observing sea rise and predicting flood risk. Spatial planning can provide resilient and adaptive designs in drainage systems, storm water management, and flood control structures.

5.2

Case study 2: Thermal imaging camera for assessing structural integrity.

This study by Tantele et al. (2018) investigated a relatively new non-destructive testing method using infrared thermography to determine its applicability for detecting and evaluating steel corrosion in reinforced concrete structures. The method leverages the difference in thermal characteristics between corroded and non-corroded steel. Corrosion products alter the heat distribution on the concrete surface due to heat stored in the reinforcement bars.

Figure 2 summarizes the findings from this study. The key conclusion is that thermal images can be employed as a remote tool for detecting steel reinforcement corrosion in reinforced concrete structures. The main benefit lies in the contactless nature of the data acquisition and the rapid execution over large areas, compared to traditional methods such as half-cell potential or corrosion rate measurements.

Figure 2.

Corrosion detection using infrared thermography

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5.3

Case study 3: Mapping the variability of carbonation progress using GIS techniques and field data: a case study of the Limassol district.

This study by Tantele et al (2016) aims to demonstrate how individual field data can be combined to characterize an area using GIS mapping tools. The resulting map can depict the variability of carbonation progress across different geographical locations. A construction lab provided measurements of the carbonation depth for several buildings at various sites in the Limassol district. This information was used to calculate the carbonation factor for each structure and then visualize its value using mapping techniques. The outcome is a corrosion risk map (figure 3) of the Limassol district, showing the variability of carbonation progress with geographical locations. The map shows in which areas the risk for carbonation induced-corrosion is higher than others. The area’s risk categorisation into high risk (red colour), moderate (mainly yellow colour) and low risk (blue colour) is based on the field measurements and the visual inspection carried-out.

Figure 3.

Mapping the variability of carbonation in Limassol

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The study highlights that the employment of GIS techniques is a useful tool for engineers and managing authorities to prevent further deterioration of structures by timely interventions. The presentation of structural information in this form makes the structural evaluation easier and it can be used to predict where the risk of corrosion is highest in an area.

Engineers and managing authorities can use this map as a predictive tool for the initiation of carbonation-induced corrosion in existing structures and at the design stage to set durability requirements for concrete cover depth.

6.

CHALLENGES AND LIMITATIONS

Despite its advantages, remote sensing technology presents several challenges and limitations in civil engineering applications:

  • Data accuracy: There are challenges in calibrating sensors and processing data to ensure accuracy and reliability. Additionally, factors such as weather conditions, cloud cover, and atmospheric interference must be considered when using remote sensing data.

  • Data processing and interpretation challenges: Data processing and analysis require specialized software, hardware, and skills. Additionally, there are complexities in analysing remote sensing data and extracting meaningful insights.

  • Technological constraints: Limitations in sensor resolution, coverage, and data processing capabilities.

  • Cost considerations: Remote sensing technologies can be expensive to acquire and operate, particularly for high-resolution imagery and LiDAR data.

  • Ethical and legal implications: the data can capture sensitive information and be subject to different laws and regulations.

Another challenge, is that continuous learning and professional development are essential for civil engineers to harness the full potential of remote sensing technology. This can be achieved through activities such as:

  • Training programs: Offered by academic institutions, industry organizations, and professional associations to enhance remote sensing skills.

  • Workshops and seminars: Provide opportunities for hands-on experience and knowledge exchange in remote sensing applications.

  • Online resources: Accessible platforms for self-paced learning and staying updated on the latest developments in remote sensing technology

7.

CONCLUSIONS

Remote sensing techniques offer invaluable tools for enhancing infrastructure development and addressing challenges in civil engineering. By integrating remote sensing technology into their practices, civil engineers can improve efficiency, accuracy, safety and sustainability in their projects. Remote sensing is serving as a valuable tool for data acquisition, analysis, and decision-making throughout the project lifecycle.

As the field of remote sensing continues to evolve, it is essential for engineers to stay informed, collaborate with experts, and embrace innovative solutions for future infrastructure projects.

The future of remote sensing in civil engineering holds immense potential for innovation and advancement:

  • Advances in sensor technology: Development of more advanced sensors with higher resolution and improved capabilities.

  • Integration with emerging technologies: Synergies with artificial intelligence, machine learning, and IoT for data analysis and decision support.

  • Expansion of applications: Further exploration of remote sensing applications in areas such as smart infrastructure, disaster resilience, and climate change adaptation.

By harnessing the power of remote sensing technologies, civil engineers can innovate and optimize their practices to meet the evolving demands of infrastructure development in the 21st century.

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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Elia Tantele, Renos Votsis, Christiana A. Filippou, Orestes Marangos, and Nicholas Kyriakides "Integration of remote sensing techniques in civil engineering", Proc. SPIE 13212, Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024), 132121H (13 September 2024); https://doi.org/10.1117/12.3038208
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KEYWORDS
Remote sensing

Civil engineering

Climate change

Corrosion

Environmental sensing

Satellites

Climatology

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